model.template : Use functions to create tensors to solve -fvar-tracking-assignments

mace/python/tools/memory_optimizer.py

@@ -48,7 +48,7 @@ class MemoryOptimizer(object):
         mem_id = self.idle_mem.pop()
 
       if not op.output_shape:
-        print('There is no output shape information to do memory optimization.')
+        print('WARNING: There is no output shape information to do memory optimization.')
         return
       op.mem_id = mem_id
       self.op_mem[self._op_to_tensor(op)] = mem_id

mace/python/tools/model.template

@@ -4,13 +4,21 @@
 //
 
 {% if mode == 0 %}
+#include <vector>
+#include "mace/core/mace.h"
 
 namespace {{tag}}{
 
-alignas(4) unsigned char {{ tensor.name }}[] = {
-{% for d in tensor.data %}{{"0x%02X, " % d }}{%endfor%}
+alignas(4) unsigned char {{ tensor_info.name }}[] = {
+{% for d in tensor_info.data %}{{"0x%02X, " % d }}{%endfor%}
 };
 
+void Create{{tensor.name}}(std::vector<mace::TensorProto> &tensors) {
+  tensors.emplace_back(mace::TensorProto(
+      {{ tensor.name|tojson }}, {{ tensor.name }},
+      { {{ tensor.dims|join(', ') }} }, {{ tensor.data_type }}, {{ tensor.node_id }}));
+}
+
 } //  namespace {{tag}}
 
 {% elif mode == 1 %}
@@ -92,7 +100,7 @@ void CreateOperator{{i}}(mace::OperatorDef &op) {
 namespace {{tag}} {
 
 {% for tensor in tensors %}
-extern unsigned char {{ tensor.name }}[];
+extern void Create{{ tensor.name }}(std::vector<mace::TensorProto> &tensors);
 {% endfor %}
 
 
@@ -156,9 +164,7 @@ static void CreateTensors(std::vector<mace::TensorProto> &tensors) {
 
   {% for tensor in net.tensors %}
 
-  tensors.emplace_back(mace::TensorProto(
-      {{ tensor.name|tojson }}, {{ tag + '::' + tensor.name }},
-      { {{ tensor.dims|join(', ') }} }, {{ tensor.data_type }}, {{ tensor.node_id }}));
+  {{tag}}::Create{{tensor.name}}(tensors);
   {% endfor %}
 
 }

mace/python/tools/source_converter_lib.py

@@ -102,7 +102,8 @@ def convert_to_source(net_def, template, confuse, model_tag, output):
   # generate tensor source files
   for t in net_def.tensors:
     source = j2_env.get_template(template_name).render(
-      tensor = TensorInfo(t),
+      tensor_info = TensorInfo(t),
+      tensor = t,
       tag = model_tag,
       mode = 0,
     )